Thanks to the CSA Trust Grant, I had the opportunity to attend the 9th Strasbourg Summer School in Chemoinformatics (CS3-2024). This renowned event, held in the European Capital city of Strasbourg, offered enriching lectures and hands-on tutorials covering the latest topics in the field.
The program offered diverse perspectives on Artificial Intelligence in chemistry, addressed the validation needs in working on Big Data, and shared innovative workflows. It also explored new trends in Quantitative Structure-Activity Relationship (QSAR) modeling and in silico pharmacology, featuring insights from leading international scientists.
As a doctoral candidate in Chemoinformatics and Bioinformatics, focusing on Drug Discovery, I recently achieved a milestone by publishing an open-source program named PDB-CAT (PDB Classification and Analysis Tool). This tool is the first automated, open-source solution designed for classifying structures in the Protein Data Bank.
One highlight of my participation was presenting a poster announcing the publication of PDB-CAT. To my delight, my work was recognized with the Best Poster Prize.
Beyond the technical knowledge, attending this international workshop significantly enhanced my soft skills. The motivational environment drove my dedication to my research.
Moreover, the city of Strasbourg, with its rich history and vibrant culture, added a special touch to this unforgettable experience. The beautiful surroundings provided a perfect setting, making the entire journey even more memorable.
In conclusion, the 9th Strasbourg Summer School in Chemoinformatics was more than just an academic event. It was a transformative experience that expanded my comfort zone and solidified my commitment to advancing the field of Drug Discovery. As I continue my doctoral journey, I carry with me the invaluable insights, skills, and personal relationships gained from this opportunity.
Chemical Structure Association Trust 